Our community of Data Experts think disruptively to provide pragmatic solutions for our clients' most complex challenges. We are curious minds who come together in collaborative and inclusive teams to push boundaries to make a positive impact in the world by harnessing the power of Data and Artificial Intelligence (AI).
We are looking for change makers, opportunity creators, status-quo shakers. If that’s you, what are you waiting for?
Making an impact across data careers
is responsible for conducting complex analysis, proposing business indicators and generating analytic solutions to support clients in generating business value.
is responsible for bringing our clients scalable and robust solutions related to the processes of creating pipelines, platforms, organization, governance and data quality.
is responsible for designing reference architectures, covering key aspects of data management, governance, domains, modeling, integration, security, compliance and more.
is responsible for identifying business opportunities and how to respond to them through the applied use of data and thus maximizing client results.
is responsible for providing the technical components capable of enabling CD4ML principles such as experiment versioning tools, data repositories, automation mats and integration layers with production environments.
Thoughtworks stands out for its collaborative and people-centric culture, where the emphasis on robust software engineering practices complements the focus on data engineering. The company excels in bridging the gap between data expertise and solid software engineering, making it a unique and fulfilling workplace.
Making an impact across data archetypes
Data engineers
are responsible for bringing our clients scalable and robust solutions related to the processes of creating pipelines, platforms, organization, governance and data quality. They have experience in cloud, on-premises technologies and migrations.
Data architects
are responsible for designing reference architectures, covering key aspects of data management, governance, domains, modeling, integration, security, compliance and more. They are responsible for the discovery, roadmap, feasibility study and recommendation of frameworks, practices and tools in the data world to better meet business objectives.
Data scientists
are responsible for identifying business opportunities and how to respond to them through the applied use of data and thus maximizing client results. They play a strategic role both from a technical and business point of view, proposing the use of advanced machine learning techniques along with algorithms and success metrics that will serve in the future to evaluate the results of production models.
ML engineers
are responsible for providing the technical components capable of enabling CD4ML principles such as experiment versioning tools, data repositories, automation mats and integration layers with production environments. They work closely with data scientists, evaluating aspects of scalability and performance for proposed data models.
Data analysts
are responsible for conducting complex analysis, proposing business indicators and generating analytic solutions to support clients in generating business value. They have experience in transforming data into insights through understanding the business and creating automated dashboards for demonstrating results and making decisions.
Life at Thoughtworks as a data professional
Learn more about life at Thoughtworks as a data professional from Clara Brünn, Data Scientist, Ina Iovitoiu, Data Scientist, Inna Zykova, Data Engineer and Javier Molina Sanchez, Lead Data Engineer. From choosing Thoughtworks to what it’s like to work here as a data professional to details of their project work and advice to those thinking of bringing their data skills to Thoughtworks – this is great insight into being a data professional at Thoughtworks.
People you might work with
Senior data consultant, Spain
I consider myself a constant learner who is always trying to make things better. In the software world, this is something you can do every day due to the challenges you have to face, and that's why I decided to study Computer Engineering.
I joined Thoughtworks as a Senior Developer in 2019 because I wanted to take my career to the next level. In Thoughtworks, I've learnt about a bunch of practices, methodologies and techniques, among many other things, from great people.
However, I don't see myself as a developer that likes to code in a dark room, alone, without any human interaction. I love talking to people, interacting with humans, and understanding others' point of view. But most importantly, I love to understand the business in order to take the product we are working on to the next level.
Lead data engineer, Munich
Kelsey is a Lead Engineer at Thoughtworks with a background in laboratory acoustic phonetics (linguistics) and currently works as a Software Developer, Cloud Infrastructure Specialist, and Data Engineer. She is passionate about helping clients develop products that solve real and validated business problems, building out those solutions in a pragmatic and modern way, and coaching teams on high-performance behaviours.
Talk to Kelsey about sustainable practices (both tech and non-tech) in the era of climate change or how data can contribute to this globally urgent issue.
Head of Data Strategy & Data Governance Services, Europe
I am the the Data Strategy & Data Governance Lead at Thoughtworks Europe. Having worked in data analytics, data governance and data strategy for more than a decade, I have come to find a particular passion for the human dimension of data: collaboration, communication and creativity.
I like to make data more understandable, approachable and fun through music and memes.
How we help our clients
We help our clients to get greater value from data by creating a clear roadmap that ensures trustworthiness, security and compliance, while making it effortlessly accessible and user-friendly. This way they can take control of their data landscape and empower data consumers through clear governance policies and alignment with business objectives.
We support our clients to put their data into action by enabling business teams to create and consume reliable self-service data products that scale easily and support diverse analytics.
With our help they apply world-class data architecture models such as Data Mesh to bring a product mindset, modern software engineering methods, and people-centric changes to accelerate data delivery.
Our data experts consult our clients in elevating their potential for extraordinary results by automating routine work and augmenting your team’s unique capabilities with people-centric, ethical artificial intelligence (AI) and analytics.
Data should challenge our assumptions and instincts from time to time. And if it doesn't there is something wrong.
Data should challenge our assumptions and instincts from time to time. And if it doesn't there is something wrong.
Anna Lagutina
As data-driven applications become increasingly prevalent, it's important to ensure they meet software best practices and standards. With incorrect analysis, we can fail to understand data, accidentally introduce bugs, have mismatching test sets and real-life data, misinterpret our data analysis and who knows what else can go wrong?
Danilo Sato and Kiran Prakash
In this webinar, Thoughtworks' experts discuss the benefits of using the Data Mesh approach and the disadvantages of a centralized data management system, drawing on real life data projects.
Recommended content
Mike Mason and Birgitta Böckeler
In recent months, there's been a lot of talk in the industry around issues like whether AI might boost developer productivity and if it can be used for pair programming, but in this episode of the Technology Podcast we try to get beneath the hype to explore the reality of generative AI and software development — how is it actually being used today? What works? And what doesn't?
Stephanie Wang
Ever wonder how XR worlds are built? Come see how one beginner with no formal XR background created her own AR app and VR world. In less than 15 minutes you'll learn some tips and tricks and see what’s behind the scenes in XR world building.